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ICIP
2007
IEEE
14 years 2 months ago
Energetic Particle Filter for Online Multiple Target Tracking
Online target tracking requires to solve two problems: data association and online dynamic estimation. Usually, association effectiveness is based on prior information and observa...
Abir El Abed, Séverine Dubuisson, Dominique...
PAMI
2006
233views more  PAMI 2006»
13 years 7 months ago
Model-Based Hand Tracking Using a Hierarchical Bayesian Filter
This paper sets out a tracking framework, which is applied to the recovery of threedimensional hand motion from an image sequence. The method handles the issues of initialization,...
Björn Stenger, Arasanathan Thayananthan, Phil...
ISCAS
2007
IEEE
92views Hardware» more  ISCAS 2007»
14 years 1 months ago
Companding Baseband Switched Capacitor Filters and ADCs for WLAN Applications
— In this paper, system level design techniques for companding baseband switched capacitor (SC) filters for WLAN applications are presented. With companding, no AGC is required ...
Vaibhav Maheshwari, Wouter A. Serdijn, John R. Lon...
IJCNN
2006
IEEE
14 years 1 months ago
Cellular SRN Trained by Extended Kalman Filter Shows Promise for ADP
— Cellular simultaneous recurrent neural network has been suggested to be a function approximator more powerful than the MLP’s, in particular for solving approximate dynamic pr...
Roman Ilin, Robert Kozma, Paul J. Werbos
CAEPIA
2003
Springer
14 years 27 days ago
A Method to Adaptively Propagate the Set of Samples Used by Particle Filters
Abstract. In recent years, particle filters have emerged as a useful tool that enables the application of Bayesian reasoning to problems requiring dynamic state estimation. The ef...
Alvaro Soto